Upload pipeline.py

pipeline.py

@@ -342,7 +342,6 @@ class SuperDiffSDXLPipeline(DiffusionPipeline, ConfigMixin):
         self.num_inference_steps = num_inference_steps
         self.guidance_scale = guidance_scale
         self.seed = seed
-        self.dtype = torch.float16
         if self.seed is None:
             self.seed = random.randint(0, 2**32 - 1)
 
@@ -353,7 +352,7 @@ class SuperDiffSDXLPipeline(DiffusionPipeline, ConfigMixin):
         latents = torch.randn(
             (batch_size, self.unet.in_channels, height // 8, width // 8),
             generator=self.generator,
-            dtype=self.dtype,
+            dtype=torch.float16,
             device=self.device,
         )
         prompt_embeds, added_cond_kwargs = self.prepare_prompt_input(